Tag: explainable AI

A large preregistered experiment shows that people prefer short, directly related arguments when explaining claims, largely matching formal explanation definitions ...

Researchers have developed a framework that uses explainable AI to reconstruct missing privileged information, keeping LUPI classifiers accurate even when ...

A systematic review of 135 studies reveals that AI recommender systems succeed in online marketplaces only when algorithmic performance, consumer ...

A new PRISMA-based systematic review of 108 studies finds that most healthcare AI technologies remain at intermediate technology readiness levels, ...

A large-scale analysis of Chinese social media finds that intense positive sentiment toward cultural and residential urban places is associated ...

When regulators, judges, and clinicians demand that artificial intelligence systems be "explainable," they rarely stop to ask a deceptively simple ...

A hybrid AI system forecast preictal EEG activity in newborns with high recall while identifying the brain regions influencing its ...

A study finds that adding hierarchical relationships among knowledge components can improve knowledge-tracing predictions and clarify students’ learning difficulties.

A hybrid model analyzing programming activity traces detected student blockage an average of 2.8 minutes before instructors could see it.